# GLM-4.5-Air vs GPT-6 Sol

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 38.7 on the Noometry Index. GLM-4.5-Air costs 9.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-air-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and GPT-6 Sol in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 23.3.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.7 | 49.2 |
| Rank | 169 | 46 |
| Context | 131K | 1.05M |
| Input $/M | $0.20 | $2 |
| Output $/M | $1.10 | $10 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5-Air: 34.5 (#225)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1397 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| GSO | 2.9% | — |

## Agentic & Tool Use

- GLM-4.5-Air: —
- GPT-6 Sol: 33.5 (#49)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |

## Reasoning

- GLM-4.5-Air: 23.3 (#166)
- GPT-6 Sol: 49.3 (#34)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1420 |
| Kagi LLM Benchmark | 43% | — |
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| ForecastBench | 59.2 | — |

## Math

- GLM-4.5-Air: 33.8 (#166)
- GPT-6 Sol: 35.8 (#135)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1396 | 1404 |
| Omni-MATH | 39.1% | — |

## Knowledge

- GLM-4.5-Air: 34.6 (#184)
- GPT-6 Sol: 43.0 (#87)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 6.5% |
| LMArena Expert | 1370 | 1449 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| GPQA (HELM) | 59.4% | — |

## Multimodal

- GLM-4.5-Air: —
- GPT-6 Sol: 47.6 (#9)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |

## Multilingual

- GLM-4.5-Air: 49.4 (#130)
- GPT-6 Sol: 51.0 (#113)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1366 | 1389 |
| LMArena Chinese | 1427 | 1416 |
| LMArena Russian | 1373 | 1407 |
| LMArena Spanish | 1385 | 1377 |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |

## Instruction Following

- GLM-4.5-Air: 69.8 (#165)
- GPT-6 Sol: 74.4 (#97)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1353 | 1406 |
| IFEval | 81.2% | — |

## Long Context

- GLM-4.5-Air: 41.6 (#130)
- GPT-6 Sol: 43.2 (#100)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1367 | 1415 |

## Writing & Preference

- GLM-4.5-Air: 56.1 (#134)
- GPT-6 Sol: 72.3 (#15)

| Benchmark | GLM-4.5-Air | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1384 | 1396 |
| LMArena Creative Writing | 1343 | 1392 |
| LMArena Multi-Turn | 1371 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
| WildBench | 78.9% | — |

## FAQ

### Is GLM-4.5-Air better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 38.7 on the Noometry Index. GLM-4.5-Air costs 9.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5-Air or GPT-6 Sol?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is GLM-4.5-Air or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 34.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 131K.

### How many benchmarks do GLM-4.5-Air and GPT-6 Sol share?

14 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GPT-6 Sol has 22.